Philip J. Boren, a division of Forward Solutions, is looking for an AI Engineer to build AI and ML-powered tools, generate insights, and enhance their competitive edge using cutting-edge technologies to drive sales performance with vast amounts of e-commerce data.
Requirements
- Experience working with vector databases such as Pinecone for efficient storage and retrieval of embeddings.
- Strong proficiency in Python and experience with AI and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI).
- Hands-on experience with LLMs, multimodal models, and agents, with a focus on retrieval-augmented generation (RAG), fine-tuning, and real-time inference.
- Familiarity with AI framework(s) such as LangChain, LangGraph, Azure AI services, and working with APIs.
- Experience using Model Context Protocol (MCP) to manage state, context, and memory in multi-agent AI workflows.
- Experience deploying AI models into production environments, preferably using Azure services and Microsoft Fabric.
- Background in MLOps and fine-tuning models, with an understanding of AI deployment best practices in cloud environments.
Responsibilities
- Work with LLMs and multimodal models, both running them locally and deploying them into production.
- Develop sales forecasts, demand predictions, and customer insights using machine learning and AI.
- Build internal AI-powered tools to improve efficiency and decision-making.
- Leverage off-the-shelf AI models and fine-tune them for business applications.
- Develop and integrate AI agents for process automation and data analysis.
- Experience with multi-agent orchestration frameworks such as CrewAI or AutoGen for collaborative AI workflows.
- Work with Azure and relevant AI frameworks to build and deploy scalable AI solutions, integrating with existing APIs as needed.
Other
- 2-5 years of experience in AI development, machine learning, or data science.
- Strong problem-solving skills and a creative mindset for applying AI to business challenges.
- Experience with e-commerce analytics, Amazon marketplace data, or retail AI, particularly in leveraging AI-driven insights for sales and marketing strategies.
- Conduct presentations and training sessions to guide internal users on AI tools, processes, and SOPs ensuring proper documentation and effective usage.
- Partner with internal and external stakeholders to identify new AI opportunities and refine use cases.
